Matrix Pencil joint TOA/AOA positioning algorithm for OFDM
基于Matrix Pencil的OFDM信号的TOA/AOA定位

For improving the prediction accuracy of the TOA and AOA parameter, this paper proposed a low complexity Matrix Pencil algorithm for OFDM signal's super-resolution TOA/AOA two-dimensional positioning. First, the first-path delay, that was, it obtained the OFDM signal's TOA estimation through using MPM method to channel frequency response parameters. Then, it also gained the AOA/DOA estimation by using the same MPM method to parameters received by antenna array in frequency domain. Finally, the location within 2-D plane could be acquired by joining the TOA estimate and AOA estimate. Because of the correlation between the carriers and the impact of coherent multipath, the AOA estimation RMSE was much bigger than TOA's. So, it added the different weights to each path's amplitude in order to strengthen the FAP amplitude and decrease the other paths' amplitude, to lower the impact on the follow AOA estimation process. Simulations presented here employ the OFDM signal to illustrate the efficiency of the proposed algorithms. The results show that restrain to non-FAP amplitude can improve RMSE performance and unbiasedness of the AOA estimation, also, can improve the whole positioning process' accuracy significantly.